Book:LIMSjournal - Fall 2023

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LIMSjournal - Fall 2023
Volume 9, Issue 3
Fig1 Ishizuki SciTechAdvMatMeth2023 3-1.jpeg
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LIMSjournal - Fall 2023: Volume 9, Issue 3

This collection of 13 open-access journal articles loaded to LIMSwiki in July–September 2023 is compiled as a convenient, easy-to-access compilation. It is organized alphabetically by topic and then by author, with the author and publication year appearing at the end for your convenience.

1. Cannabis analysis and research
Combined ambient ionization mass spectrometric and chemometric approach for the differentiation of hemp and marijuana varieties of Cannabis sativa (Chambers et al. 2023)
High levels of pesticides found in illicit cannabis inflorescence compared to licensed samples in Canadian study using expanded 327 pesticides multiresidue method (Gagnon et al. 2023)
Cadmium bioconcentration and translocation potential in day-neutral and photoperiod-sensitive hemp grown hydroponically for the medicinal market (Marebesi et al. 2023)
2. Health informatics
Transforming healthcare analytics with FHIR: A framework for standardizing and analyzing clinical data (Ayaz et al. 2023)
Guideline for software life cycle in health informatics (Hauschild et al. 2022)
FAIR Health Informatics: A health informatics framework for verifiable and explainable data analysis (Siddiqi et al. 2023)
3. Laboratory informatics and management
Autonomous experimental systems in materials science (Ishizuki et al. 2023)
Establishing reliable research data management by integrating measurement devices utilizing intelligent digital twins (Lehmann et al. 2023)
Laboratory automation, informatics, and artificial intelligence: Current and future perspectives in clinical microbiology (Mencacci et al. 2023)
4. Laboratory informatics applications
A web application to support the coordination of reflexive, interpretative toxicology testing (Pablo et al. 2023)
Development of an integrated and comprehensive clinical trial process management system (Shen et al. 2023)
NIMS-OS: An automation software to implement a closed loop between artificial intelligence and robotic experiments in materials science (Tamura et al. 2023)
Registered data-centered lab management system based on data ownership security architecture (Zheng et al. 2023)